Unsupervised Embeddings Disentanglement Using a Gan for Merchant Recommendations

2. The method of claim 1, wherein the plurality of embedded features include a cuisine type feature.

6. The method of claim 4 further comprising: performing the disentanglement on multiple locations by one of: i) a pairwise procedure that selects a first location and then maps the new raw merchant embeddings from remaining locations to an embedding space of the first location; and ii) mapping the new raw merchant embeddings from the multiple locations to a new embedding space.

10. The system of claim 9, wherein the plurality of embedded features include a cuisine type feature.

14. The system of claim 11, wherein the software component is further configured to: perform the disentanglement on multiple locations by one of: i) a pairwise procedure that selects a first location and then maps the new raw merchant embeddings from remaining locations to an embedding space of the first location; and ii) mapping the new raw merchant embeddings from the multiple locations to a new embedding space.